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Welcome to highway-env ’s documentation! This project gathers a collection of environment for decision-making in Autonomous Driving. The purpose of this documentation is to provide: a quick start guide describing the environments and their customization options;
In this task, the ego-vehicle starts on a main highway but soon approaches a road junction with incoming vehicles on the access ramp. The agent's objective is now to maintain a high speed while making room for the vehicles so that they can safely merge in the traffic.
Several scripts and notebooks to train driving policies on highway-env are available on this page. Here are a few of them: Highway with image observations and a CNN model Train SB3’s DQN on highway-fast-v0, but using image observations and a CNN model for the value function.
A collection of environments for autonomous driving and tactical decision-making tasks. An episode of one of the environments available in highway-env. 📒 Try it on Google Colab! Installation. pip install --user git+https://github.com/eleurent/highway-env. Usage. import gym import highway_env env = gym. make ( "highway-v0" )
A viewer to render a highway driving environment. set_agent_display(agent_display: Callable) → None [source] # Set a display callback provided by an agent. So that they can render their behaviour on a dedicated agent surface, or even on the simulation surface. Parameters: agent_display – a callback provided by the agent to display on surfaces.
Renderers. The renderers work like capsules where all the Javascript related to a single page is put. Each page can have its custom renderer which will extend the built-in and default Highway.Renderer. A page that doesn't need specific Javascript doesn't need a renderer as well so the built-in Highway.Renderer will be used instead.
30 de may. de 2023 · Highway. env = gymnasium.make("highway-v0") In this task, the ego-vehicle is driving on a multilane highway populated with other vehicles. The agent's objective is to reach a high speed while avoiding collisions with neighbouring vehicles. Driving on the right side of the road is also rewarded.